statsmodels.base.model.LikelihoodModel

class statsmodels.base.model.LikelihoodModel(endog, exog=None, **kwargs)

Likelihood model is a subclass of Model

Attributes:

endog_names

Names of endogenous variables

exog_names

Names of exogenous variables

Methods

fit([start_params, method, maxiter, ...])	Fit method for likelihood based models
from_formula(formula, data[, subset, drop_cols])	Create a Model from a formula and dataframe
hessian(params)	The Hessian matrix of the model
information(params)	Fisher information matrix of model
initialize()	Initialize (possibly re-initialize) a Model instance
loglike(params)	Log-likelihood of model
predict(params[, exog])	After a model has been fit, predict returns the fitted values
score(params)	Score vector of model

Methods

fit([start_params, method, maxiter, ...])	Fit method for likelihood based models
from_formula(formula, data[, subset, drop_cols])	Create a Model from a formula and dataframe
hessian(params)	The Hessian matrix of the model
information(params)	Fisher information matrix of model
initialize()	Initialize (possibly re-initialize) a Model instance
loglike(params)	Log-likelihood of model
predict(params[, exog])	After a model has been fit, predict returns the fitted values
score(params)	Score vector of model

Properties

endog_names	Names of endogenous variables
exog_names	Names of exogenous variables